1 citations · 1 across the 2 of their papers we have counts for
3 papers
Multi-Objective Reinforcement Learning for Water Management
Zuzanna Osika, Roxana Rădulescu, Jazmin Zatarain Salazar +2
Many real-world problems (e.g., resource management, autonomous driving, drug discovery) require optimizing multiple, conflicting objectives. Multi-objective reinforcement learning…
Learning in Multi-Objective Public Goods Games with Non-Linear Utilities
Nicole Orzan, Erman Acar, Davide Grossi +2
Addressing the question of how to achieve optimal decision-making under risk and uncertainty is crucial for enhancing the capabilities of artificial agents that collaborate with or…
Emergent Cooperation under Uncertain Incentive Alignment
Nicole Orzan, Erman Acar, Davide Grossi +1
Understanding the emergence of cooperation in systems of computational agents is crucial for the development of effective cooperative AI. Interaction among individuals in real-worl…